(2) #25 Clemson (23-4)

1872.28 (17)

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# Opponent Result Effect % of Ranking Status Date Event
144 Tennessee** Win 13-2 0 0% Ignored Jan 26th Clutch Classic 2019
139 Tennessee-Chattanooga** Win 13-0 0 0% Ignored Jan 26th Clutch Classic 2019
204 Georgia Southern** Win 13-2 0 0% Ignored Jan 26th Clutch Classic 2019
36 Vanderbilt Loss 6-8 -27.77 5.27% Jan 26th Clutch Classic 2019
87 Auburn** Win 11-3 0 0% Ignored Jan 27th Clutch Classic 2019
93 Kennesaw State Win 9-4 -4.5 5.08% Jan 27th Clutch Classic 2019
18 South Carolina Loss 7-8 -1.49 5.45% Jan 27th Clutch Classic 2019
139 Tennessee-Chattanooga** Win 9-3 0 0% Ignored Feb 2nd Royal Crown Classic 2019
143 Alabama Win 8-7 -52.09 5.78% Feb 2nd Royal Crown Classic 2019
115 South Florida Win 9-5 -17.29 5.58% Feb 2nd Royal Crown Classic 2019
261 Emory-B** Win 11-1 0 0% Ignored Feb 2nd Royal Crown Classic 2019
139 Tennessee-Chattanooga** Win 13-2 0 0% Ignored Feb 3rd Royal Crown Classic 2019
225 Florida-B** Win 11-2 0 0% Ignored Feb 3rd Royal Crown Classic 2019
261 Emory-B** Win 13-1 0 0% Ignored Feb 3rd Royal Crown Classic 2019
41 Harvard Win 12-3 20.91 6.61% Feb 9th Queen City Tune Up 2019 Women
11 Pittsburgh Loss 3-8 -22.02 5.36% Feb 9th Queen City Tune Up 2019 Women
38 Florida Loss 7-9 -36.47 6.32% Feb 9th Queen City Tune Up 2019 Women
58 Penn State Win 13-0 13.22 6.89% Feb 9th Queen City Tune Up 2019 Women
65 Massachusetts Win 15-6 9.17 6.89% Feb 10th Queen City Tune Up 2019 Women
45 Virginia Win 12-7 14.34 6.89% Feb 10th Queen City Tune Up 2019 Women
41 Harvard Win 11-5 19.93 6.32% Feb 10th Queen City Tune Up 2019 Women
93 Kennesaw State** Win 13-5 0 0% Ignored Mar 16th Tally Classic XIV
189 Tulane** Win 13-2 0 0% Ignored Mar 16th Tally Classic XIV
51 Florida State Win 13-4 23.9 9.19% Mar 16th Tally Classic XIV
115 South Florida** Win 13-2 0 0% Ignored Mar 16th Tally Classic XIV
38 Florida Win 14-3 34.3 9.19% Mar 17th Tally Classic XIV
41 Harvard Win 15-6 29.9 9.19% Mar 17th Tally Classic XIV
**Blowout Eligible

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.